datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
osha-severe-injury-reports-enriched
OSHA Severe Injury Reports Enriched Dataset
This dataset packages OSHA Severe Injury Report records into a single analysis-ready dataframe covering January 1, 2015 through August 31, 2025.
Each row represents one OSHA severe injury report submitted under federal OSHA jurisdiction. The dataset preserves the underlying establishment, geography, NAICS, incident classification, and narrative fields while adding normalized dates, NAICS sector mapping, severity profile fields… See the full description on the dataset page: https://huggingface.co/datasets/masonmarker/osha-severe-injury-reports-enriched.os-harmThe OS-Harm benchmark of 150 safety-focused tasks for computer use agents, split across 3 categories (deliberate user misuse, prompt injection attacks, and agent misbehavior) and based on the OSWorld environment.
Some of the tasks are derived from OSWorld: the ones named with a UUID or that have a derived_from field pointig to the original task in OSWorld.
kl3m-data-dotgov-www.osha.gov
KL3M Data Project
Note: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the GitHub repository or refer to the KL3M Data Project paper.
Description
This dataset is part of the ALEA Institute's KL3M Data Project, which provides copyright-clean training resources for large language models.
Dataset Details
Format: Parquet… See the full description on the dataset page: https://huggingface.co/datasets/alea-institute/kl3m-data-dotgov-www.osha.gov.OSHA-Severe-Injuries-by-Employer-2015-2025What's in the data
Every U.S. employer with at least one OSHA severe injury report on record — hospitalizations, amputations, and eye losses reported under 29 CFR 1904.39. Each row is one employer with aggregated injury counts by type, event dates, total enforcement history, parent-company rollup, and cross-agency indicators.
Source
U.S. Department of Labor, Occupational Safety and Health Administration, via FastDOL.
OSHA Severe Injuries by Employer
This is a mirror. Canonical home:… See the full description on the dataset page: https://huggingface.co/datasets/FastDOL/OSHA-Severe-Injuries-by-Employer-2015-2025.OSHA_Construction_Enforcement_by_EmployerThis is a mirror. Canonical home: https://www.fastdol.com/datasets/osha-construction-enforcement-by-employer
Version DOI: 10.5281/zenodo.20187885
Concept DOI: 10.5281/zenodo.20187884
Download CSV: https://www.fastdol.com/datasets/osha-construction-enforcement-by-employer/data.csv
Visit the canonical page for the full schema, methodology, BibTeX citation, and most recent version.
Employer-level OSHA enforcement records for the U.S. construction industry (NAICS 23), covering all citations on… See the full description on the dataset page: https://huggingface.co/datasets/FastDOLz/OSHA_Construction_Enforcement_by_Employer.news_summarization_datasetOSHA_Citations_Q1_2026OSHA Citations — Q1 2026 (Citation-Level)
This is a mirror. Canonical home: https://www.fastdol.com/datasets/osha-citations-2026-q1
License: CC BY 4.0
Version DOI: 10.5281/zenodo.20138442
Concept DOI: 10.5281/zenodo.20138441
Download CSV: https://www.fastdol.com/datasets/osha-citations-2026-q1/data.csv
Visit the canonical page for the full schema, methodology, BibTeX citation, and most recent version.
OSHA Citations — Q1 2026 (Citation-Level)
Every OSHA citation issued in the first… See the full description on the dataset page: https://huggingface.co/datasets/FastDOLz/OSHA_Citations_Q1_2026.osha-regulated-chemicals-pel-2026
Canonical landing page: https://www.smartqhse.com/datasets/osha-regulated-chemicals-pel-2026
OSHA-Regulated Hazardous Chemicals — PEL Reference 2026
Top 30 OSHA-regulated hazardous chemicals with Permissible Exposure Limits (PEL, 8-hour TWA), primary health effects, and the OSHA standard reference (e.g. 1910.1028 for benzene). Useful for SDS authoring, industrial-hygiene programs, exposure-control planning, and respirator selection. ACGIH TLVs (generally lower than OSHA PEL)… See the full description on the dataset page: https://huggingface.co/datasets/SmartQHSE/osha-regulated-chemicals-pel-2026.COVID-19_OSHA-EUROPA
[!NOTE]
Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21210
Description
Multilingual (CEF languages) corpus acquired (17th july 2020) from website (https://osha.europa.eu/) of the European Agency for Safety and Health at Work (17th July 2020). It contains 24 TMX files (EN-X, where X is a CEF language plus IS and NB but not Irish) with 1169 TUs in total.
Citation
COVID-19 OSHA-EUROPA dataset v1. Multilingual (CEF languages plus IS and NB but not… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/COVID-19_OSHA-EUROPA.osha-workplace-injuries
OSHA Workplace Injury & Illness 2016–2023
One-time dated snapshot.
Establishment-level OSHA records with reported injury counts and calculated rates.
Verified coverage: 2016–2023.
Records: 2,378,072 establishment-year rows.
This repository contains a 1,000-row public sample, not the full package. A sample does not establish complete historical coverage.
Limitations
zip3 is missing throughout this snapshot. Use other location fields with their documented… See the full description on the dataset page: https://huggingface.co/datasets/claritystorm/osha-workplace-injuries.The_OSHA_Test_Project
The OSHA Test Project
This corpus was automatically generated by the Deku Corpus Builder for use in RAG-based AI applications.
Dataset Structure
Each record contains:
text: The content text
source_url: Original source URL
source_title: Title of the source document
source_domain: Domain of the source
license_type: License classification (e.g. public_domain, cc_by, cc_by_sa)
attribution_required: Boolean — True for CC BY / CC BY-SA and other attribution-required… See the full description on the dataset page: https://huggingface.co/datasets/PhillyMac/The_OSHA_Test_Project.osha-most-cited-standards-2024
Canonical landing page: https://www.smartqhse.com/datasets/osha-most-cited-standards-2024
OSHA Most-Cited Standards FY2024
Top 30 most-frequently-cited OSHA standards in US fiscal year 2024, with citation focus area, primary scope (general industry / construction), and typical Serious-citation penalty range. Sourced from OSHA enforcement data (osha.gov/data/enforcement). Useful for compliance prioritisation, training curriculum design, and contractor pre-qualification… See the full description on the dataset page: https://huggingface.co/datasets/SmartQHSE/osha-most-cited-standards-2024.osha-training-requirements-by-standard
OSHA training requirements by standard: topic, frequency, and CFR citation
Canonical, always-current version: https://referencesource.org/osha-training-requirements-by-standard/
Machine-readable: https://referencesource.org/osha-training-requirements-by-standard/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-05
Stale after: 2028-08-04 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 31
Which OSHA… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/osha-training-requirements-by-standard.state-osha-plan-penalty-maximums
State OSHA plan civil penalty maximums by violation type compared with federal
Canonical, always-current version: https://referencesource.org/state-osha-plan-penalty-maximums/
Machine-readable: https://referencesource.org/state-osha-plan-penalty-maximums/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-15
Stale after: 2027-02-11 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 25
Maximum civil… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/state-osha-plan-penalty-maximums.osha-rates-2026
US OSHA Recordable Rates by Industry 2026
TRIR, DART, days-away-from-work rate, vs-average-percentage, fatal injury rate, and top fatal event by NAICS code for US private industry. Sourced from BLS Survey of Occupational Injuries and Illnesses (SOII) 2024, BLS Census of Fatal Occupational Injuries (CFOI) 2024, and OSHA Injury Tracking Application (ITA) 2024 submissions.
Citation
SmartQHSE Ltd (2026). US OSHA Recordable Rates by Industry 2026 [dataset]. CC BY 4.0.… See the full description on the dataset page: https://huggingface.co/datasets/SmartQHSE/osha-rates-2026.osha-fall-protection-trigger-height-by-standard
OSHA fall protection trigger height by standard
Canonical, always-current version: https://referencesource.org/osha-fall-protection-trigger-height-by-standard/
Machine-readable: https://referencesource.org/osha-fall-protection-trigger-height-by-standard/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-25
Stale after: 2027-08-25 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 42
OSHA does not set… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/osha-fall-protection-trigger-height-by-standard.osha-medical-surveillance-triggers
OSHA medical surveillance trigger thresholds by substance
Canonical, always-current version: https://referencesource.org/osha-medical-surveillance-triggers/
Machine-readable: https://referencesource.org/osha-medical-surveillance-triggers/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-12
Stale after: 2027-02-08 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 23
The airborne exposure level that… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/osha-medical-surveillance-triggers.osha-recordkeeping-exemptions
OSHA injury and illness recordkeeping exemptions by industry (NAICS)
Canonical, always-current version: https://referencesource.org/osha-recordkeeping-exemptions/
Machine-readable: https://referencesource.org/osha-recordkeeping-exemptions/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-19
Stale after: 2027-02-15 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 82
Whether a business must keep OSHA… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/osha-recordkeeping-exemptions.OSHA-Severe-Injuries-by-Employer-2015-2025What's in the data
Every U.S. employer with at least one OSHA severe injury report on record — hospitalizations, amputations, and eye losses reported under 29 CFR 1904.39. Each row is one employer with aggregated injury counts by type, event dates, total enforcement history, parent-company rollup, and cross-agency indicators.
Source
U.S. Department of Labor, Occupational Safety and Health Administration, via FastDOL.
OSHA Severe Injuries by Employer
This is a mirror. Canonical home:… See the full description on the dataset page: https://huggingface.co/datasets/FastDOLz/OSHA-Severe-Injuries-by-Employer-2015-2025.osha-state-plans-2026
OSHA-Approved State Plans Reference 2026
All 28 OSHA-approved State Plans with agency names, scope (private vs. state/local government), and notable unique or stricter provisions.
Details
Publisher: SmartQHSE Ltd (https://www.smartqhse.com)
License: CC BY 4.0
Format: CSV (UTF-8)
DOI: 10.5281/zenodo.20446347
Landing page: https://www.smartqhse.com/datasets/osha-state-plans-2026
Citation
SmartQHSE Ltd (2026). OSHA-Approved State Plans Reference… See the full description on the dataset page: https://huggingface.co/datasets/SmartQHSE/osha-state-plans-2026.cacd_cropped_faceskl3m-filter-data-dotgov-www.osha.govosha-severe-injuries
OSHA Severe Injury Reports (amputations + hospitalizations since 2015)
Every severe workplace injury (amputation, in-patient hospitalization, or loss of an eye) reported by employers to OSHA since 1/1/2015 — 103,745 reports through Aug 2025, including 27,386 amputations and 84,684 hospitalizations. Each names the employer, address, NAICS, body part, mechanism (event), source object, and a free-text narrative of what happened. Federal OSHA jurisdiction only. Source:… See the full description on the dataset page: https://huggingface.co/datasets/emperor-mew/osha-severe-injuries.nepali-tts-mos-resultsUniref90_large_temp
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dataset-sample-bloom-test
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news_summarization_dataset_sampleSiQuAD
Sinhala SQuAD Dataset
This dataset is a translation of the SQuAD v1.0 dataset into Sinhala using the Google Translate API. It consists of 16,000 question-answer pairs, with 13,000 training pairs and 1,250 test/dev pairs. The dataset is cleaned and validated to ensure the quality of the translations.
Dataset Details
Size: 16,000 QA pairs
Train: 13,000 pairs
Test/Dev: 1,250 pairs
Language: Sinhala
Source: The dataset was derived from the original SQuAD v1.0 dataset.… See the full description on the dataset page: https://huggingface.co/datasets/OshanDeSilva/SiQuAD.temp1
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Uniref90_temp
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